Model Updating of a Hydraulic Chain Oscillator

Paul Treml; Gudrun Mikota; Bernhard Manhartsgruber

doi:10.1115/FPMC2021-68690

Model Updating of a Hydraulic Chain Oscillator

Paul Treml, Gudrun Mikota, Bernhard Manhartsgruber

Institute of Machine Design and Fluid Power

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

A hydraulic system in form of a chain oscillator has been set up, measured and described by a mathematical model in the frequency domain. By analysing the hydraulic circuit, it is possible to derive a suitable mathematical model, with the focus on keeping it as simple as possible, but still representing all the important properties. Unknown system parameters are identified with the help of a two-step procedure using a non-linear optimization task. Excited hydraulically, by adjusting the flow rate, the pressures in this setup are measured. From this data, frequency responses between flow rate and the pressures can be calculated, which are used to validate the mathematical model and the identification strategy. Different system configurations were investigated to further confirm the validity of the model and the identification methodology.

Original language	English
Title of host publication	Proceedings of the ASME/BATH 2021 Symposium on Fluid Power and Motion Control. Virtual, Online. October 19–21, 2021.
Number of pages	10
ISBN (Electronic)	9780791885239
DOIs	https://doi.org/10.1115/FPMC2021-68690
Publication status	Published - Dec 2021

Fields of science

203 Mechanical Engineering
203015 Mechatronics

Access to Document

10.1115/FPMC2021-68690

Cite this

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title = "Model Updating of a Hydraulic Chain Oscillator",

abstract = "A hydraulic system in form of a chain oscillator has been set up, measured and described by a mathematical model in the frequency domain. By analysing the hydraulic circuit, it is possible to derive a suitable mathematical model, with the focus on keeping it as simple as possible, but still representing all the important properties. Unknown system parameters are identified with the help of a two-step procedure using a non-linear optimization task. Excited hydraulically, by adjusting the flow rate, the pressures in this setup are measured. From this data, frequency responses between flow rate and the pressures can be calculated, which are used to validate the mathematical model and the identification strategy. Different system configurations were investigated to further confirm the validity of the model and the identification methodology.",

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N2 - A hydraulic system in form of a chain oscillator has been set up, measured and described by a mathematical model in the frequency domain. By analysing the hydraulic circuit, it is possible to derive a suitable mathematical model, with the focus on keeping it as simple as possible, but still representing all the important properties. Unknown system parameters are identified with the help of a two-step procedure using a non-linear optimization task. Excited hydraulically, by adjusting the flow rate, the pressures in this setup are measured. From this data, frequency responses between flow rate and the pressures can be calculated, which are used to validate the mathematical model and the identification strategy. Different system configurations were investigated to further confirm the validity of the model and the identification methodology.

AB - A hydraulic system in form of a chain oscillator has been set up, measured and described by a mathematical model in the frequency domain. By analysing the hydraulic circuit, it is possible to derive a suitable mathematical model, with the focus on keeping it as simple as possible, but still representing all the important properties. Unknown system parameters are identified with the help of a two-step procedure using a non-linear optimization task. Excited hydraulically, by adjusting the flow rate, the pressures in this setup are measured. From this data, frequency responses between flow rate and the pressures can be calculated, which are used to validate the mathematical model and the identification strategy. Different system configurations were investigated to further confirm the validity of the model and the identification methodology.

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